Artículos de revistas sobre el tema "Stochastic neural networks"
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Reddy, BhanuTeja y Usha J.C. "Prediction of Stock Market using Stochastic Neural Networks". International Journal of Innovative Research in Computer Science & Technology 7, n.º 5 (septiembre de 2019): 128–38. http://dx.doi.org/10.21276/ijircst.2019.7.5.1.
Texto completoWong, Eugene. "Stochastic neural networks". Algorithmica 6, n.º 1-6 (junio de 1991): 466–78. http://dx.doi.org/10.1007/bf01759054.
Texto completoZhou, Wuneng, Xueqing Yang, Jun Yang y Jun Zhou. "Stochastic Synchronization of Neutral-Type Neural Networks with Multidelays Based onM-Matrix". Discrete Dynamics in Nature and Society 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/826810.
Texto completoHu, Shigeng, Xiaoxin Liao y Xuerong Mao. "Stochastic Hopfield neural networks". Journal of Physics A: Mathematical and General 36, n.º 9 (19 de febrero de 2003): 2235–49. http://dx.doi.org/10.1088/0305-4470/36/9/303.
Texto completoGao, Zhan, Elvin Isufi y Alejandro Ribeiro. "Stochastic Graph Neural Networks". IEEE Transactions on Signal Processing 69 (2021): 4428–43. http://dx.doi.org/10.1109/tsp.2021.3092336.
Texto completoSAKTHIVEL, RATHINASAMY, R. SAMIDURAI y S. MARSHAL ANTHONI. "EXPONENTIAL STABILITY FOR STOCHASTIC NEURAL NETWORKS OF NEUTRAL TYPE WITH IMPULSIVE EFFECTS". Modern Physics Letters B 24, n.º 11 (10 de mayo de 2010): 1099–110. http://dx.doi.org/10.1142/s0217984910023141.
Texto completoWu, Chunmei, Junhao Hu y Yan Li. "Robustness Analysis of Hybrid Stochastic Neural Networks with Neutral Terms and Time-Varying Delays". Discrete Dynamics in Nature and Society 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/278571.
Texto completoKanarachos, Andreas E. y Kleanthis T. Geramanis. "Semi-Stochastic Complex Neural Networks". IFAC Proceedings Volumes 31, n.º 12 (junio de 1998): 47–52. http://dx.doi.org/10.1016/s1474-6670(17)36040-8.
Texto completoPeretto, Pierre y Jean-jacques Niez. "Stochastic Dynamics of Neural Networks". IEEE Transactions on Systems, Man, and Cybernetics 16, n.º 1 (enero de 1986): 73–83. http://dx.doi.org/10.1109/tsmc.1986.289283.
Texto completoHurtado, Jorge E. "Neural networks in stochastic mechanics". Archives of Computational Methods in Engineering 8, n.º 3 (septiembre de 2001): 303–42. http://dx.doi.org/10.1007/bf02736646.
Texto completoPARK, JU H. y O. M. KWON. "SYNCHRONIZATION OF NEURAL NETWORKS OF NEUTRAL TYPE WITH STOCHASTIC PERTURBATION". Modern Physics Letters B 23, n.º 14 (10 de junio de 2009): 1743–51. http://dx.doi.org/10.1142/s0217984909019909.
Texto completoPARK, JU H. y O. M. KWON. "ANALYSIS ON GLOBAL STABILITY OF STOCHASTIC NEURAL NETWORKS OF NEUTRAL TYPE". Modern Physics Letters B 22, n.º 32 (30 de diciembre de 2008): 3159–70. http://dx.doi.org/10.1142/s0217984908017680.
Texto completoHua, Min Gang, Jun Tao Fei y Wei Li Dai. "Exponential Stability Analysis for Neutral Stochastic Delayed Neural Networks". Advanced Materials Research 354-355 (octubre de 2011): 877–80. http://dx.doi.org/10.4028/www.scientific.net/amr.354-355.877.
Texto completoVerikas, A. y A. Gelzinis. "Training neural networks by stochastic optimisation". Neurocomputing 30, n.º 1-4 (enero de 2000): 153–72. http://dx.doi.org/10.1016/s0925-2312(99)00123-x.
Texto completoBlythe, Steve, Xuerong Mao y Xiaoxin Liao. "Stability of stochastic delay neural networks". Journal of the Franklin Institute 338, n.º 4 (julio de 2001): 481–95. http://dx.doi.org/10.1016/s0016-0032(01)00016-3.
Texto completoYang, Yunfeng y Fengxian Tang. "Network Intrusion Detection Based on Stochastic Neural Networks Method". International Journal of Security and Its Applications 10, n.º 8 (31 de agosto de 2016): 435–46. http://dx.doi.org/10.14257/ijsia.2016.10.8.38.
Texto completoBorovkov, K., G. Decrouez y M. Gilson. "On Stationary Distributions of Stochastic Neural Networks". Journal of Applied Probability 51, n.º 03 (septiembre de 2014): 837–57. http://dx.doi.org/10.1017/s0021900200011700.
Texto completoBorovkov, K., G. Decrouez y M. Gilson. "On Stationary Distributions of Stochastic Neural Networks". Journal of Applied Probability 51, n.º 3 (septiembre de 2014): 837–57. http://dx.doi.org/10.1239/jap/1409932677.
Texto completoShi, Xiang Dong. "Mean Square Asymptotic Stability of Neutral Stochastic Neutral Networks with Multiple Time-Varying Delays". Advanced Materials Research 684 (abril de 2013): 579–82. http://dx.doi.org/10.4028/www.scientific.net/amr.684.579.
Texto completoAkbar, Mutaqin. "Traffic sign recognition using convolutional neural networks". Jurnal Teknologi dan Sistem Komputer 9, n.º 2 (5 de marzo de 2021): 120–25. http://dx.doi.org/10.14710/jtsiskom.2021.13959.
Texto completoLiu, Qingliang y Jinmei Lai. "Stochastic Loss Function". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 04 (3 de abril de 2020): 4884–91. http://dx.doi.org/10.1609/aaai.v34i04.5925.
Texto completoEMMERT-STREIB, FRANK. "A HETEROSYNAPTIC LEARNING RULE FOR NEURAL NETWORKS". International Journal of Modern Physics C 17, n.º 10 (octubre de 2006): 1501–20. http://dx.doi.org/10.1142/s0129183106009916.
Texto completoROSSELLÓ, JOSEP L., VINCENT CANALS, ANTONI MORRO y ANTONI OLIVER. "HARDWARE IMPLEMENTATION OF STOCHASTIC SPIKING NEURAL NETWORKS". International Journal of Neural Systems 22, n.º 04 (25 de julio de 2012): 1250014. http://dx.doi.org/10.1142/s0129065712500141.
Texto completoWang, Yanzhi, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang, Jiayu Li, Bo Yuan, Wujie Wen y Xue Lin. "Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 5369–76. http://dx.doi.org/10.1609/aaai.v33i01.33015369.
Texto completoZhou, Wuneng, Xueqing Yang, Jun Yang, Anding Dai y Huashan Liu. "Almost Sure Asymptotical Adaptive Synchronization for Neutral-Type Neural Networks with Stochastic Perturbation and Markovian Switching". Mathematical Problems in Engineering 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/479084.
Texto completoDEBIEC, PIOTOR, LUKASZ KORNATOWSKI, KRZYSZTOF SLOT y HYONGSUK KIM. "TEXTURE GENERATION USING CELLULAR NEURAL NETWORKS". International Journal of Bifurcation and Chaos 16, n.º 12 (diciembre de 2006): 3655–68. http://dx.doi.org/10.1142/s021812740601704x.
Texto completoTosh, Colin R. y Graeme D. Ruxton. "The need for stochastic replication of ecological neural networks". Philosophical Transactions of the Royal Society B: Biological Sciences 362, n.º 1479 (18 de enero de 2007): 455–60. http://dx.doi.org/10.1098/rstb.2006.1973.
Texto completoLi WAN y Qinghua ZHOU. "Ultimate Boundedness of Stochastic Hopfield Neural Networks". Journal of Convergence Information Technology 6, n.º 8 (31 de agosto de 2011): 244–48. http://dx.doi.org/10.4156/jcit.vol6.issue8.28.
Texto completoVerriest, E. I. "Stability of Stochastic Neural Networks with Delays". IFAC Proceedings Volumes 31, n.º 20 (julio de 1998): 441–46. http://dx.doi.org/10.1016/s1474-6670(17)41834-9.
Texto completoHuang, Chuangxia, Yigang He y Ping Chen. "Dynamic Analysis of Stochastic Recurrent Neural Networks". Neural Processing Letters 27, n.º 3 (11 de abril de 2008): 267–76. http://dx.doi.org/10.1007/s11063-008-9075-z.
Texto completoRosaci, D. "Stochastic neural networks for transportation systems modeling". Applied Artificial Intelligence 12, n.º 6 (septiembre de 1998): 491–500. http://dx.doi.org/10.1080/088395198117631.
Texto completoYu, Wenwu y Jinde Cao. "Synchronization control of stochastic delayed neural networks". Physica A: Statistical Mechanics and its Applications 373 (enero de 2007): 252–60. http://dx.doi.org/10.1016/j.physa.2006.04.105.
Texto completoJay, Patel, Vasu Kalariya, Pushpendra Parmar, Sudeep Tanwar, Neeraj Kumar y Mamoun Alazab. "Stochastic Neural Networks for Cryptocurrency Price Prediction". IEEE Access 8 (2020): 82804–18. http://dx.doi.org/10.1109/access.2020.2990659.
Texto completoBorkar, V. S. y P. Gupta. "Randomized neural networks for learning stochastic dependences". IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 29, n.º 4 (1999): 469–80. http://dx.doi.org/10.1109/3477.775263.
Texto completoGinzburg, Iris y Haim Sompolinsky. "Theory of correlations in stochastic neural networks". Physical Review E 50, n.º 4 (1 de octubre de 1994): 3171–91. http://dx.doi.org/10.1103/physreve.50.3171.
Texto completoZhu, Y., P. Garda, E. Belhaire y Y. Ni. "Autocompensated capacitive circuit for stochastic neural networks". Electronics Letters 30, n.º 4 (17 de febrero de 1994): 330–31. http://dx.doi.org/10.1049/el:19940250.
Texto completoZhao, Jieyu, John Shawe-Taylor y Max van Daalen. "Learning in Stochastic Bit Stream Neural Networks". Neural Networks 9, n.º 6 (agosto de 1996): 991–98. http://dx.doi.org/10.1016/0893-6080(96)00025-1.
Texto completoFernandes, Fernando, Rodrigo de Losso da Silveira Bueno, Pedro Delano Cavalcanti y Alemayehu Solomon Admasu. "Generating Stochastic Processes Through Convolutional Neural Networks". Journal of Control, Automation and Electrical Systems 31, n.º 2 (31 de enero de 2020): 294–303. http://dx.doi.org/10.1007/s40313-020-00567-y.
Texto completoOchoa-Rivera, Juan Camilo. "Prospecting droughts with stochastic artificial neural networks". Journal of Hydrology 352, n.º 1-2 (abril de 2008): 174–80. http://dx.doi.org/10.1016/j.jhydrol.2008.01.006.
Texto completoWang, Jie, Jun Wang, Wen Fang y Hongli Niu. "Financial Time Series Prediction Using Elman Recurrent Random Neural Networks". Computational Intelligence and Neuroscience 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/4742515.
Texto completoFan, Tongke. "Research on Optimal CDMA Multiuser Detection Based on Stochastic Hopfield Neural Network". Recent Patents on Computer Science 12, n.º 3 (8 de mayo de 2019): 233–40. http://dx.doi.org/10.2174/2213275912666181210103742.
Texto completoZhuo, Li’an, Baochang Zhang, Chen Chen, Qixiang Ye, Jianzhuang Liu y David Doermann. "Calibrated Stochastic Gradient Descent for Convolutional Neural Networks". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 9348–55. http://dx.doi.org/10.1609/aaai.v33i01.33019348.
Texto completoTAN, Z. y M. K. ALI. "PATTERN RECOGNITION WITH STOCHASTIC RESONANCE IN A GENERIC NEURAL NETWORK". International Journal of Modern Physics C 11, n.º 08 (diciembre de 2000): 1585–93. http://dx.doi.org/10.1142/s0129183100001413.
Texto completoSoula, Hédi y Carson C. Chow. "Stochastic Dynamics of a Finite-Size Spiking Neural Network". Neural Computation 19, n.º 12 (diciembre de 2007): 3262–92. http://dx.doi.org/10.1162/neco.2007.19.12.3262.
Texto completoXu, Yuhua, Jinmeng Wang, Wuneng Zhou y Xin Wang. "Synchronization in pth Moment for Stochastic Chaotic Neural Networks with Finite-Time Control". Complexity 2019 (3 de enero de 2019): 1–8. http://dx.doi.org/10.1155/2019/2916364.
Texto completoSHAFEE, FARIEL. "STOCHASTIC DYNAMICS OF NETWORKS WITH SEMICLASSICAL EXCITATIONS". Stochastics and Dynamics 07, n.º 03 (septiembre de 2007): 403–16. http://dx.doi.org/10.1142/s0219493707002086.
Texto completoWan, Li y Qing Hua Zhou. "Ultimate Boundedness of Stochastic Neural Networks with Delays". Advanced Materials Research 204-210 (febrero de 2011): 1549–52. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.1549.
Texto completoNikolic, Kostantin. "Training Neural Network Elements Created From Long Shot Term Memory". Oriental journal of computer science and technology 10, n.º 1 (1 de marzo de 2017): 01–10. http://dx.doi.org/10.13005/ojcst/10.01.01.
Texto completoZhou, Liqun y Guangda Hu. "Almost sure exponential stability of neutral stochastic delayed cellular neural networks". Journal of Control Theory and Applications 6, n.º 2 (mayo de 2008): 195–200. http://dx.doi.org/10.1007/s11768-008-7036-8.
Texto completoAmit, Daniel J. y Stefano Fusi. "Learning in Neural Networks with Material Synapses". Neural Computation 6, n.º 5 (septiembre de 1994): 957–82. http://dx.doi.org/10.1162/neco.1994.6.5.957.
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